Grete Helen Meisfjord Jørgensen

Dr. Grete Helen Meisfjord Jørgensen

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Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2011 in Journal of Animal Science
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LPL. J. Pedersen
L. J. Pedersen
PBP. Berg
P. Berg
GJGrete Helen Meisfjord Jørgensen
Grete Helen Meisfjord Jørgensen
IAI. L. Andersen
I. L. Andersen
The primary aim of the present study was to investigate whether the same piglet traits contributed to the same causes of neonatal piglet mortality in crates (CT) and pens (PN). Gilts originating from 2 distinct genetic groups that differed in breeding value for piglet survival rate at d 5 (SR5) were used. These were distributed to farrow in either PN or CT as follows: high-SR5 and CT (n = 30); low-SR5 and CT (n = 27); high-SR5 and PN (n = 22); and low-SR5 and PN (n = 24). Data on individual piglets were collected at birth, including interbirth interval; birth order; birth weight; rectal temperature at birth, 2 h after birth, and 24 h after birth; cordal plasma lactate; and latency to first suckle. Based on autopsy, causes of mortality were divided into stillborn, bitten to death, starvation, crushed, disease, and other causes. Potential risk factors of dying were estimated using a GLM with a logit link function. No significant effect (NS) of housing was observed on the odds of a piglet being stillborn (F1,73 = 0.1, NS), being crushed (F1,53 = 1.4, NS), or dying of starvation (F1,53 = 0.3, NS). No significant differences were observed between the 2 genetic groups for any category of mortality. Piglet traits for pre- and postnatal survival were the same for CT and PN. The odds of being stillborn were increased in piglets born late in the birth order (F1,1061 = 33.5, P < 0.0001), after a long interbirth interval (F1,1061 = 19.2, P < 0.0001), and with a lighter birth weight (F1,1061 = 9.2, P = 0.003). The lighter the birth weight of the piglets, the greater were the odds of being crushed (F1,1050 = 18, P < 0.0001) and dying of starvation (F1,1050 = 19, P < 0.0001). The lower the rectal temperature 2 h after birth, the greater were the odds of being crushed (F1,1050 = 4.6, P = 0.03), starving (F1,1050 = 16.6, P < 0.0001), or dying of diseases (F1,1050 = 4.9, P = 0.03). Increased cordal plasma lactate increased the odds of dying from starvation (F1,1050 = 18, P < 0.0001). In both CT and PN, the birth weight, body temperature 2 h after birth, and birth process were important traits related to crushing, starvation, and disease. Neither housing nor breeding value influenced mortality or traits of importance for the inborn viability of piglets. The results emphasize that the microclimate in the PN for newborn piglets and its heat-preserving properties are more important for survival than whether the sow is crated or penned. Copyright © 2011. American Society of Animal Science .

1 November 2007 in Applied Animal Behaviour Science
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Journal Article
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GJGrete Helen Meisfjord Jørgensen
Grete Helen Meisfjord Jørgensen
IAInger Lise Andersen
Inger Lise Andersen
KBKnut Egil Bøe
Knut Egil Bøe

1 August 2009 in Applied Animal Behaviour Science
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Journal Article
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GJGrete Helen Meisfjord Jørgensen
Grete Helen Meisfjord Jørgensen
LBLinn Borsheim
Linn Borsheim
CMCecilie Mejdell
Cecilie Mejdell
ESEva Søndergaard
Eva Søndergaard
KBKnut Egil Bøe
Knut Egil Bøe

1 November 2016 in Applied Animal Behaviour Science
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Journal Article
Open access
CMCecilie Mejdell
Cecilie Mejdell
TBTurid Buvik
Turid Buvik
GJGrete Helen Meisfjord Jørgensen
Grete Helen Meisfjord Jørgensen
KBKnut E. Bøe
Knut E. Bøe
This paper describes a method in which horses learn to communicate by touching different neutral visual symbols, in order to tell the handler whether they want to have a blanket on or not. Horses were trained for 10–15min per day, following a training program comprising ten steps in a strategic order. Reward based operant conditioning was used to teach horses to approach and touch a board, and to understand the meaning of three different symbols. Heat and cold challenges were performed to help learning and to check level of understanding. At certain stages, a learning criterion of correct responses for 8–14 successive trials had to be achieved before proceeding. After introducing the free choice situation, on average at training day 11, the horse could choose between a “no change” symbol and the symbol for either “blanket on” or “blanket off” depending on whether the horse already wore a blanket or not. A cut off point for performance or non-performance was set to day 14, and 23/23 horses successfully learned the task within this limit. Horses of warm-blood type needed fewer training days to reach criterion than cold-bloods (P<0.05). Horses were then tested under differing weather conditions. Results show that choices made, i.e. the symbol touched, was not random but dependent on weather. Horses chose to stay without a blanket in nice weather, and they chose to have a blanket on when the weather was wet, windy and cold (χ2=36.67, P<0.005). This indicates that horses both had an understanding of the consequence of their choice on own thermal comfort, and that they successfully had learned to communicate their preference by using the symbols. The method represents a novel tool for studying preferences in horses

1 November 2008 in Applied Animal Behaviour Science
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Journal Article
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IAInger Lise Andersen
Inger Lise Andersen
SRSabine Roussel
Sabine Roussel
ERErik Ropstad
Erik Ropstad
BBBjarne Olai Braastad
Bjarne Olai Braastad
GSGeir Steinheim
Geir Steinheim
KBKnut Egil Bøe
Knut Egil Bøe

13 May 2020 in International Journal of Distributed Sensor Networks
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Journal Article
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KRKeni Ren
Keni Ren
JKJohannes Karlsson
Johannes Karlsson
MLMarkus Liuska
Markus Liuska
MHMarkku Hartikainen
Markku Hartikainen
IHInger Hansen
Inger Hansen
GJGrete Helen Meisfjord Jørgensen
Grete Helen Meisfjord Jørgensen
The growing interest in precision livestock farming is prompted by a desire to understand the basic behavioural needs of the animals and optimize the contribution of each animal. The aim of this study was to develop a system that automatically generated individual animal behaviour and localization data in sheep. A sensor-fusion-system tracking individual sheep position and detecting sheep standing/lying behaviour was proposed. The mean error and standard deviation of sheep position performed by the ultra-wideband location system was 0.357 ± 0.254 m, and the sensitivity of the sheep standing and lying detection performed by infrared radiation cameras and three-dimenional computer vision technology were 98.16% and 100%, respectively. The proposed system was able to generate individual animal activity reports and the real-time detection was achieved. The system can increase the convenience for animal behaviour studies and monitoring of animal welfare in the production environment.